In traditional academic settings, students who miss live lectures often struggle to catch up due to a lack of structured resources and peer interaction. This project presents A-CLIP (Capture and Learning Intelligence Platform), a hybrid intelligent system designed to bridge this gap by transforming static video recordings into a comprehensive, interactive learning environment. Unlike standard video players, A-CLIP creates a \"study-like\" atmosphere where absent students can engage with material more deeply than in a physical classroom. The platform utilizes a microservices-inspired architecture, combining a Node.js orchestrator for real-time state management with a specialized Python service for high-performance AI tasks. For every uploaded lecture, the system automatically generates detailed, structured study notes using Llama 3.2 and curates supplementary external resources from the web, ensuring students have access to a wealth of context beyond the video itself. To reinforce mastery, an AI-driven adaptive quiz engine generates assessments with difficulty tiers (Beginner and \nPro), locking advanced modules until foundational concepts are understood. Furthermore, the platform simulates the social aspect of learning through a \"Study Room\", where students can watch Siddhant Thorve. 2026, ISSN (Online): 2348-4098 ISSN (Print): 2395-4752 International Journal of Science, Engineering and Technology synchronously, video chat via WebRTC, and collaborate on shared whiteboards. This holistic approach ensures that missing a lecture no longer results in a learning deficit, but rather offers an opportunity for personalized, resource-rich study. \n